{"id":"W2888664900","doi":"10.1007/978-3-319-72170-5","title":"Invited Lectures from the 13th International Congress on Mathematical Education","year":2018,"lang":"en","type":"book","venue":"ICME-13 monographs","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emissions Reduction Alberta; University of Alberta","funders":"","keywords":"Mathematics education; Political science; Engineering ethics; Library science; Computer science; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009080678,0.0003000795,0.0002920031,0.0002831063,0.0005671109,0.0004023909,0.001252333,0.0004295064,0.001924059],"category_scores_gemma":[0.0007889018,0.0002228937,0.0002275383,0.0001655257,0.0006804742,0.00009530613,0.00008340551,0.0005698871,0.0002138396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232933,"about_ca_system_score_gemma":0.0005570192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005534346,"about_ca_topic_score_gemma":0.0005937444,"domain_scores_codex":[0.9978401,0.0003137133,0.0004093613,0.0003901028,0.0007925862,0.0002541567],"domain_scores_gemma":[0.9974742,0.001048828,0.0004270539,0.0006458414,0.0002684881,0.000135567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006909422,0.0001465355,0.00007269643,0.00001065061,0.00007988581,3.403561e-7,0.01007677,7.277042e-8,0.000001038812,0.1691644,0.8161055,0.004335149],"study_design_scores_gemma":[0.00003955557,0.00001657441,0.00002510201,0.0002506699,0.00003239029,4.420843e-7,0.0003978754,0.000008335984,0.00001393508,0.4536221,0.5454462,0.0001467441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001090804,0.0002268574,0.001926337,0.01577844,0.006968912,0.001089996,0.0001362222,0.0005473245,0.9722351],"genre_scores_gemma":[0.01646256,0.0008613562,0.01594917,0.02312968,0.009959626,0.0006393864,0.001872179,0.0002189754,0.9309071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2844577,"threshold_uncertainty_score":0.9989883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067574379777429,"score_gpt":0.351693188865296,"score_spread":0.3210174450675218,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}